98% of Support Queries
Resolved Automatically.
24/7.
A RAG-powered support agent that connects directly to your knowledge base and answers questions in Slack — instantly, accurately, and without interrupting your team.
Challenge
Teams needed instant access to scattered documentation without manual searches, repetitive Slack questions, or the context loss that comes with traditional keyword search. Knowledge existed — it just wasn't reachable.
The Problem
Documentation scattered
Knowledge was spread across dozens of GitBook pages with no way to query it intelligently — finding anything meant manual digging through the wrong pages.
Repetitive Slack questions
The same questions got asked over and over in Slack, interrupting teammates and pulling engineers away from actual work to answer things already documented.
Keyword search misses intent
Traditional search matched words, not meaning. Different phrasing returned wrong results — or nothing — even when the answer was clearly in the docs.
No after-hours coverage
Questions went unanswered outside working hours. No support coverage meant delays, blocked work, and frustrated team members waiting for responses.
The Solution
GitBook integration
Real-time content extraction and automatic synchronization — the agent always answers from the latest version of the documentation, with no manual updates needed.
Semantic vector search
Embeddings capture intent, not just keywords. The right answer surfaces even when the phrasing differs from what's in the docs.
Slack-native bot
Answers delivered directly in the conversation with source links included — no context switching, no tab-opening, no leaving Slack.
24/7 auto-resolution
The agent handles queries around the clock, resolving the vast majority without human intervention and routing the rest to the right person.
Results
The agent handles the vast majority of incoming questions without any human involvement — only edge cases get escalated.
Questions answered outside working hours, on weekends, instantly — no waiting for someone to come online and dig through the docs.
Engineers and teammates stopped being the first line of support. The agent absorbed all recurring questions, freeing people to focus on actual work.
How It Works
The agent connects to GitBook via API, extracts all documentation content, and stores it as semantic vector embeddings. When a question comes in through Slack, it runs a similarity search to find the most relevant passages, feeds them as context to an OpenAI model, and returns a precise answer — with direct links back to the source pages.
Tech Stack
Put your knowledge base to work.
Let's talk about building a support agent that answers questions instantly — from your own docs, in your own tools.
Schedule a free call